Advances in Nonlinear and Convex Analysis

Dear Colleagues,

Nonlinear and convex analysis is a rapidly growing area of mathematics, with numerous applications in optimization, control theory, machine (deep) learning, economics, engineering, management and other disciplines. In recent years, with the tool of nonlinear analysis, various reformulations for optimization problems and techniques in analyzing the convergence of algorithms have found new directions. This issue is devoted to the publication of original articles of current interest in every theoretical, computational and applicational aspect of nonlinear analysis, variational analysis, convex analysis, multivalued analysis, non-smooth analysis, fixed point theory and optimization theory, as well as their applications to science, engineering, economics, management, healthcare and other disciplines.

The purpose of this Special Issue is to pay tribute to the significant contributions and recent advances in theories, methods, and applications, including, but not limited to, the following fields:

• Nonlinear, convex, multivalued, variational and nonsmooth analysis;
• Fixed point, coincidence point and best proximity point theory;
• Optimization and optimal control theory;
• Algorithms and numerical analysis for nonlinear problems;
• Nonlinear and variational methods for ODEs and PDEs;
• Inverse, ill-posed and perturbed problems;
• Game theory and dynamical systems;
• Data mining, machine and deep learning;
• Applications in engineering, economic, management, medicine and healthcare.

Prof. Dr. Yeong-Cheng Liou
Prof. Dr. Ching-Feng Wen
Prof. Dr. Jen-Chih Yao
Guest Editors

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